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Proceedings Paper

Heart rate measurement based on face video sequence
Author(s): Fang Xu; Qin-Wu Zhou; Peng Wu; Xing Chen; Xiaofeng Yang; Hong-jian Yan
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Paper Abstract

This paper proposes a new non-contact heart rate measurement method based on photoplethysmography (PPG) theory. With this method we can measure heart rate remotely with a camera and ambient light. We collected video sequences of subjects, and detected remote PPG signals through video sequences. Remote PPG signals were analyzed with two methods, Blind Source Separation Technology (BSST) and Cross Spectral Power Technology (CSPT). BSST is a commonly used method, and CSPT is used for the first time in the study of remote PPG signals in this paper. Both of the methods can acquire heart rate, but compared with BSST, CSPT has clearer physical meaning, and the computational complexity of CSPT is lower than that of BSST. Our work shows that heart rates detected by CSPT method have good consistency with the heart rates measured by a finger clip oximeter. With good accuracy and low computational complexity, the CSPT method has a good prospect for the application in the field of home medical devices and mobile health devices.

Paper Details

Date Published: 20 March 2015
PDF: 9 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 941435 (20 March 2015); doi: 10.1117/12.2083315
Show Author Affiliations
Fang Xu, Xi'an Jiaotong Univ. (China)
Qin-Wu Zhou, Xi'an Jiaotong Univ. (China)
Peng Wu, Xi'an Jiaotong Univ. (China)
Xing Chen, Xi'an Jiaotong Univ. (China)
Xiaofeng Yang, Emory Univ. (United States)
Hong-jian Yan, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)

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